Savi Financial Stock Technical Analysis
| SVVB Stock | USD 15.10 0.05 0.33% |
As of the 9th of January, Savi Financial has the Variance of 0.0507, risk adjusted performance of 0.1022, and Coefficient Of Variation of 629.26. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Savi Financial, as well as the relationship between them.
Savi Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Savi, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SaviSavi |
Savi Financial technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.
Savi Financial Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Savi Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Savi Financial Trend Analysis
Use this graph to draw trend lines for Savi Financial. You can use it to identify possible trend reversals for Savi Financial as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Savi Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Savi Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Savi Financial applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Savi Financial will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.06, which is the sum of squared deviations for the predicted Savi Financial price change compared to its average price change.About Savi Financial Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Savi Financial on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Savi Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Savi Financial price pattern first instead of the macroeconomic environment surrounding Savi Financial. By analyzing Savi Financial's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Savi Financial's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Savi Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Savi Financial January 9, 2025 Technical Indicators
Most technical analysis of Savi help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Savi from various momentum indicators to cycle indicators. When you analyze Savi charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1022 | |||
| Market Risk Adjusted Performance | 1.5 | |||
| Mean Deviation | 0.1135 | |||
| Coefficient Of Variation | 629.26 | |||
| Standard Deviation | 0.2252 | |||
| Variance | 0.0507 | |||
| Information Ratio | 0.117 | |||
| Jensen Alpha | 0.0258 | |||
| Total Risk Alpha | 0.0259 | |||
| Treynor Ratio | 1.49 | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.33) | |||
| Potential Upside | 0.3367 | |||
| Skewness | 2.73 | |||
| Kurtosis | 11.53 |
Complementary Tools for Savi Pink Sheet analysis
When running Savi Financial's price analysis, check to measure Savi Financial's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Savi Financial is operating at the current time. Most of Savi Financial's value examination focuses on studying past and present price action to predict the probability of Savi Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Savi Financial's price. Additionally, you may evaluate how the addition of Savi Financial to your portfolios can decrease your overall portfolio volatility.
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